Sujin Hwang

Sujin Hwang Email and Phone Number

Machine Learning Research Engineer @ The University of Texas at Dallas
Richardson, TX, US
Sujin Hwang's Location
Seoul, South Korea, Korea, Republic of
About Sujin Hwang

I am a software developer with expertise in AI, Machine Learning, NLP, and Data Science. I obtained a Bachelors of Engineering degree in Data Technology from Myong-ji University in Seoul, South Korea and my aim is to make meaningful contributions in developing technology solutions that generate positive global impact. In 2023, I worked as a Software Developer Intern at Ericsson-LG where I utilized agile methodologies and design thinking to develop and iterate technical solutions. One of my favorite accomplishments was being recognized as the Best Award Winner for the “Girls in ICT 2022 Hackathon by Ericsson”, a competition for female students in STEM to propose technical solutions for a sustainable future. Our team developed a #SHOWER smart water system to reduce water consumption using Raspberry Pi, IoT sensors, and software to monitor water usage and send alerts. During a foreign exchange program at the Ilmenau University of Technology in Germany, I studied Deep Learning and Data Driven Optimization for Machine Learning. Here are some of my personal attributes: Analytical, technical, keen observer, learn quickly, problem solver, hard working, multi-lingual, philosophical yet practical, kind-hearted, compassionate, take measured risks, calm under pressure, excellent communicator, team player, and avid reader.

Sujin Hwang's Current Company Details
The University of Texas at Dallas

The University Of Texas At Dallas

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Machine Learning Research Engineer
Richardson, TX, US
Sujin Hwang Work Experience Details
  • The University Of Texas At Dallas
    Machine Learning Research Engineer
    The University Of Texas At Dallas
    Richardson, Tx, Us
  • Capstone Design Team Project, Myong-Ji University
    Ml Developer And Data Engineer
    Capstone Design Team Project, Myong-Ji University Sep 2023 - Dec 2023
    Seoul, South Korea
    ● AI developer for a project to develop a Criminal Composite Generator application using test-to-image AI models. The software generates facial composites based on user input and uniquely allows partial edits for ongoing updates and enhancements.● To find the optimal solution, I evaluated various deep learning models that could meet the needs of the project. Along the way, I taught myself the architecture of the model, how to use it in conjunction with various libraries, and how to push and load the completed model.● As ML Developer and Data Engineer, my responsibilities included preprocessing data into the correct format for the learning model, fine tuning the Stable Diffusion model, utilizing Google Prompt-to-Prompt logic for image editing, and contributing to the Huggingface ecosystem by publishing the dataset and model. I also used Python for scripting.● I also provided weekly progress updates through presentations and documentation on behalf of the team to project advisors and stakeholders.
  • Ericsson-Lg Enterprise
    Software Developer Intern
    Ericsson-Lg Enterprise Jan 2023 - Mar 2023
    Seoul, South Korea
    ● Worked as a Software Developer Intern in the MNEA Packet Core 2 team and a Design Thinking Analyst for Ericsson One Academy, an internal venture studio.● Participated in daily scrum meetings and utilized agile software development processes to advance software releases.● Reviewed, tested, and revised software code developed by team members to validate input and output parameters.● Conducted team presentations on various topics, including how machine learning and OAuth 2.0 technology could be applied to existing products.● Ran a project based on Design Thinking framework to ideate a new service offering leveraging telecommunication and data technology to solve a daily problem faced by people in Seoul.
  • Big Data Programming Team Project - Myong-Ji University
    Team Lead, Ml Developer
    Big Data Programming Team Project - Myong-Ji University Sep 2022 - Dec 2022
    Seoul, South Korea
    ● Course project provided intensive practical experience using distributed processing frameworks and covered topics such as Big Data, Dimensionality Reduction, Recommender Systems, Hadoop, HDFS, MapReduce, Hive, Sqoop, Spark, and Spark Stream. ● The project aimed to predict customer action based on past activities for an e-commerce company and develop a recommender system to suggest products to sell. ● As the ML Developer, I designed and developed the deep learning model using RNN for the recommender system. This included big data analysis, big data preprocessing, application logic, and developing a product prediction model using Hadoop.● As the Team Lead, I distributed tasks, provided technical training, defined product requirements, and explained the application logic to team members so they could successfully complete assigned tasks.
  • Girls In Ict Hackathon
    Team Lead, Cloud Developer, Data Engineer
    Girls In Ict Hackathon Sep 2022 - Nov 2022
    Seoul, South Korea
    ● Recognized as Best Award Winner of “Girls in ICT 2022 Hackathon” competition.● Teams were asked to solve an industrial and social challenge for a sustainable future. Our team of 3 people developed a #SHOWER smart water system to reduce water consumption using a hardware sensor and application to measure water usage and send alerts. The solution utilized: Raspberry Pie, IOT sensor modules, Node.js, Docker containers, and Github.● As a Cloud Developer, I wrote a Docker Compose file that ran two containers (mySQL database server and Node.js web app), and linked the two together. ● As a Data Engineer, I wrote a python script that received real time values from the sensor every second and stored the data. ● As the Team Lead, my aim was to foster a positive culture where team members could freely share brilliant yet imperfect ideas, allowing us to leverage creativity while feeling free from judgment. Despite high pressure and time constraints, our team was able to develop an innovative idea along with a great story, which led to us winning the competition.

Sujin Hwang Education Details

Frequently Asked Questions about Sujin Hwang

What company does Sujin Hwang work for?

Sujin Hwang works for The University Of Texas At Dallas

What is Sujin Hwang's role at the current company?

Sujin Hwang's current role is Machine Learning Research Engineer.

What schools did Sujin Hwang attend?

Sujin Hwang attended The University Of Texas At Dallas, Myongji University, Technische Universität Ilmenau.

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